In this paper we present our development experience of a Semantic Content Management System able to handle and manage unofromly heterogeneous contents of different kinds (texts, video and images) considering the related semantics. To this aim, we exploit several Semantic Web technologies: RFL/OWL for data modeling and representation techniques, W3C standard models for creating taxonomies and resource annotation, vocabularies and microformats. We also follow the Best Practices and Issues for the Web of Data by reusing LOD information for the Entity annotation of the managed content, thus providing CMS with advanced capabilities such as contents’ authoring and tagging.
Evento: Data2014 – 3° International Conference on Data Management Technologies and Applications, 2014, Sorrento (Italy)
Autori: Donato Cappetta, Vincenzo Moscato, Vincenzo Orabona, Raffaele Palmieri, Antonio Picariello
Data: 2014
